Stanford University
Showing 1,401-1,500 of 2,768 Results
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Yangjie Li
Postdoctoral Scholar, Chemistry
Current Research and Scholarly Interests1. Fragment correlation mass spectrometry for correlating ion pairs generated from the same fragmentation pathway, achieved by covariance mapping of tandem mass spectra
2. Use mass spectrometry for synthesis and analysis in microdroplets and at solid surfaces, focusing on air/solution, solid/solution, and liquid/liquid interfaces -
Yuanwei Li
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsCurrent: Nanophotonics, biosensing, photocatalysis, machine learning
PhD: Nanoparticles, colloidal crystal engineering with DNA, optical and mechanical metacrystals -
Zhi Li
Postdoctoral Scholar, Earth System Science
BioZhi “Allen” Li is the Stanford Doerr School of Sustainability Dean’s Postdoc Fellow. He studies surface water across scales, both spatially (local, continental, and global) and temporally (Hydrology, Hydrometeorology, and Hydroclimatology). His research focuses on flood prediction and monitoring by leveraging Remote Sensing platforms and Hydrologic-Hydraulic coupled models. He devotes himself to improving flood monitoring tools to deliver accurate and timely information for the community, especially under-represented communities.
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Zhongxiao Li
Postdoctoral Scholar, Radiation Physics
BioZhongxiao Li is a postdoctoral researcher in Professor Ruijiang Li's lab at Stanford Medicine. His research focuses on computational biology and bioinformatics, particularly the development of deep learning methods for computational pathology and spatial transcriptomics/proteomics. Previously, his work has included developing machine learning models for histopathological image analysis, understanding gene regulation, and analyzing biological sequences.
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Zixin Li
Ph.D. Student in Business Administration, admitted Autumn 2019
Ph.D. Minor, SociologyCurrent Research and Scholarly Interestsmedical sociology, organizations, networks, interventions
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April Shichu Liang
Affiliate, Department Funds
Fellow in Graduate Medical EducationBioApril Shichu Liang, M.D., is a fellow in the Stanford University Clinical Informatics Fellowship Program. Dr. Liang holds a B.S.E. in Computer Science from Princeton University and an M.D. from UCSF School of Medicine. She completed her Internal Medicine residency at UCSF. Dr. Liang’s clinical interests include hospital medicine, and her research interests are in implementation of machine learning tools in healthcare, clinical decision support, and data-driven quality improvement. Her past work includes the development of a machine learning model to predict incident delirium in hospitalized patients and EHR-based interventions to increase guideline-recommended public health screening.
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David Liang, MD, PhD
Professor of Medicine (Cardiovascular) at the Stanford University Medical Center, Emeritus
BioStanford researchers are creating a micro-device that physicians could guide through the body to help diagnose and treat clogged arteries and other diseases. Tethered to the outside world by a thin wire, a tiny machine creeps through blood vessels, searching out deadly plaques and obliterating them with a zap of a laser. While a laser will come later, for now David Liang, MD, PhD, is focusing on a tiny eye that could give physicians an unprecedented view into blood vessels.
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Dong Liang
Instructional Designer Dvlpr 2, IT Services
BioMy background gives me a unique perspective on the question of learning design. I have formal education in both computer science and humanities, which means I am not only trained to understand how technologies work, but also have strong research and writing skills. Years of reading and writing argumentative essays makes me fluent at the art of communicating complex ideas. I have extensive classroom teaching experience, which gives me a big advantage when approaching the problem of instructional design because I learned how to create e-learning courses from brick-and-mortar experiences. Finally, my passion for education technology drives me toward using innovative tools to create engaging, immersive learning experiences, within or without a classroom.
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Mengning Liang
Lead Scientist, SLAC National Accelerator Laboratory
Current Role at StanfordMy role at LCLS at SLAC is SRD Deputy Director for Strategic Development - I aid management to develop FEL science sustainably and to increase the impact of FEL science in the broader scientific community.
Coherent X-ray Imaging (CXI) Instrument lead - Lead one of the scientific instruments at LCLS. CXI is a hard X-ray, in-vacuum instrument which specialized in low signal to noise experiments due to a vacuum sample environment and high X-ray power measurements due to a nanofocus beam which can provide X-ray power up to 10^20W/cm^2
LCLS-II-HE CXI upgrade science lead. LCLS-II-HE is an upgrade of the LCLS X-ray Free Electron Laser which will take the repetition rate from 120Hz to 1MHz. The CXI instrument will undergo a complete upgrade to maximally utilize this unprecedented new source. -
Percy Liang
Associate Professor of Computer Science, Senior Fellow at the Stanford Institute for HAI, and Associate Professor, by courtesy, of Statistics
On Partial Leave from 10/01/2024 To 03/31/2025BioPercy Liang is an Associate Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011) and the director of the Center for Research on Foundation Models (CRFM). He is currently focused on making foundation models (in particular, language models) more accessible through open-source and understandable through rigorous benchmarking. In the past, he has worked on many topics centered on machine learning and natural language processing, including robustness, interpretability, human interaction, learning theory, grounding, semantics, and reasoning. He is also a strong proponent of reproducibility through the creation of CodaLab Worksheets. His awards include the Presidential Early Career Award for Scientists and Engineers (2019), IJCAI Computers and Thought Award (2016), an NSF CAREER Award (2016), a Sloan Research Fellowship (2015), a Microsoft Research Faculty Fellowship (2014), and paper awards at ACL, EMNLP, ICML, COLT, ISMIR, CHI, UIST, and RSS.
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Weixin Liang
Ph.D. Student in Computer Science, admitted Autumn 2021
BioPlease visit my personal website for more detail: https://ai.stanford.edu/~wxliang/
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Xing Liang
Basic Life Res Scientist
Current Research and Scholarly InterestsMechanism of MT polarity establishment during PVD neuron dendrite outgrowing in C. elegans.
